AI Machine Learning Engineer - Remote - Latin America

FullStack; United States; Remote; CLP 117,763,000 - 176,644,000; Full time

Benefits offered by this job

100% remote work

Competitive pay

Growth opportunities

Work with top startups and Fortune 500

Job summary

FullStack is seeking an AI/Machine Learning Engineer for 100% remote work. You will join client teams to integrate AI into production, leveraging LangChain, LLMs, and RAG techniques. The role emphasizes scalable cloud infrastructure and robust MLOps practices.

The ideal candidate has 4+ years in AI/ML, advanced English, and a strong production mindset. This position offers growth with leading startups and Fortune 500 clients.

Qualifications

• 4+ years in AI/ML or related engineering roles.
• Strong Python programming and model development experience.
• Hands-on with LangChain, LLMs and production AI systems.

Responsibilities

• Collaborate with client teams to integrate AI/ML into production.
• Design scalable AI infrastructure on AWS, GCP or Azure.
• Advise on MLOps, CI/CD and deployment best practices.

Skills

Python

LangChain

LLMs

RAG

MLOps

CI/CD

Agile/Scrum

Production AI

Education

Bachelor's degree in CS/Engineering

Tools

FAISS

Pinecone

Weaviate

Job description

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world’s greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We’re Most Proud Of

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world’s greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Machine Learning Engineer.

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

• 4+ years of professional experience as an Artificial Intelligence Engineer, Machine Learning Engineer, or similar role.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Proven experience developing and optimizing AI/ML models using Python and frameworks like LangChain.
• Deep understanding of large language models (LLMs), prompt engineering, and the latest trends in generative AI.
• Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Solid experience integrating and deploying AI/ML solutions into production environments.
• Ability to design and maintain scalable, reliable AI infrastructure on cloud platforms such as AWS, GCP, or Azure.
• Strong skills in documenting AI/ML workflows, architectural decisions, and best practices.
• Experience with MLOps, CI/CD pipelines, and maintaining production-grade AI systems.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
• Ability to consistently work 40 hours per week.

Work Authorization Requirements

• Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
• FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.

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